duet:一个R包,用于对OpenPose生成的运动数据进行二进分析。

IF 3.9 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Themis N Efthimiou, Catherine J Crompton
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引用次数: 0

摘要

对二元社会互动的研究已经大大扩展,使人们能够更深入地了解人际交往的动态过程。随着大型数据集的使用在该领域变得越来越普遍,对可扩展和高效分析工具的需求也在增长。自动编码方法,如OpenPose提供的那些,是一个用于检测和跟踪人类运动的开源软件,在分析互动过程中两个人的运动方面提供了显著的优势。然而,对OpenPose生成的大量JSON输出文件的处理和分析仍然是一个相当大的挑战。为了解决这个问题,我们介绍了duet,这是一个R包,旨在简化OpenPose输出数据的处理和分析,特别是在二元交互的背景下。该软件包提供了一套功能,用于数据清洗,插值,运动学分析和可视化,为研究人员提供了一个全面和用户友好的工作流程。通过简化OpenPose数据的处理,duet旨在以最少的编码经验促进对二元社会互动的大规模自动化分析,从而提高社会和行为科学的方法能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
duet: An R package for dyadic analysis of motion data generated by OpenPose.

Research into dyadic social interactions has expanded significantly, enabling a deeper understanding of the dynamic processes underlying interpersonal communication. As the use of larger datasets becomes increasingly common in this field, the need for scalable and efficient analytical tools has grown. Automated coding methods, such as those provided by OpenPose, an open-source software for detecting and tracking human motion, offer significant advantages for analysing the movement of two individuals during an interaction. However, the processing and analysis of large quantities of JSON output files generated by OpenPose remain a considerable challenge. To address this, we introduce duet, an R package designed to streamline the processing and analysis of OpenPose output data, particularly in the context of dyadic interactions. The package provides a suite of functions for data cleaning, interpolation, kinematic analysis, and visualisation, offering researchers a comprehensive and user-friendly workflow. By simplifying the handling of OpenPose data, duet aims to facilitate large-scale, automated analysis of dyadic social interactions, with minimal coding experience, thereby advancing methodological capabilities in social and behavioural sciences.

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来源期刊
CiteScore
10.30
自引率
9.30%
发文量
266
期刊介绍: Behavior Research Methods publishes articles concerned with the methods, techniques, and instrumentation of research in experimental psychology. The journal focuses particularly on the use of computer technology in psychological research. An annual special issue is devoted to this field.
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